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Add test for mlx array as pr#25887
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lib/matplotlib/tests/test_cbook.py

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@@ -1077,3 +1077,34 @@ def __array__(self):
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# if not mocked, and the implementation does not guarantee it
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# is the same Python object, just the same values.
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assert_array_equal(result, data)
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def test_unpack_to_numpy_from_mlx():
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"""
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Test that mlx arrays are converted to NumPy arrays.
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We don't want to create a dependency on mlx in the test suite, so we mock it.
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"""
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class Array:
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def __init__(self, data):
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self.data = data
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def __array__(self):
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return self.data
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# mlx is something peculiar
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# class `array` is in `mlx.core`
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mlx_core = ModuleType('mlx.core')
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mlx_core.array = Array
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sys.modules['mlx.core'] = mlx_core
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data = np.arange(10)
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mlx_array = mlx_core.array(data)
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result = cbook._unpack_to_numpy(mlx_array)
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assert isinstance(result, np.ndarray)
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# compare results, do not check for identity: the latter would fail
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# if not mocked, and the implementation does not guarantee it
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# is the same Python object, just the same values.
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assert_array_equal(result, data)

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